We help enterprises use Databricks to connect, govern and activate data across the organization, powering real-time analytics, predictive AI, GenAI and intelligent agents from a common data foundation.
Start Your Databricks Transformation
5
Enterprise Data & AI Capability Pillars
40
+
AI, ML & Analytics Use Cases Delivered
50
+
Data Sources Integrated
Build scalable, governed data foundations for analytics and AI. Batch and streaming ingestion, enterprise integration, transformation, data quality, orchestration and performance engineering across complex data estates.
Build scalable, governed data foundations for analytics and AI. Batch and streaming ingestion, enterprise integration, transformation, data quality, orchestration and performance engineering across complex data estates.
Turn high-velocity operational data into real-time intelligence. Streaming architectures for IoT, equipment monitoring, anomaly detection, predictive maintenance and event-driven applications.
Turn high-velocity operational data into real-time intelligence. Streaming architectures for IoT, equipment monitoring, anomaly detection, predictive maintenance and event-driven applications.
Take machine learning solutions from experimentation to production. Feature engineering, forecasting, model development, AutoML, model evaluation, deployment and lifecycle management.
Take machine learning solutions from experimentation to production. Feature engineering, forecasting, model development, AutoML, model evaluation, deployment and lifecycle management.
Build enterprise AI applications and agents grounded in trusted business data. RAG, knowledge assistants, document intelligence, conversational applications and intelligent agents, with evaluation, observability and governance built in.
Build enterprise AI applications and agents grounded in trusted business data. RAG, knowledge assistants, document intelligence, conversational applications and intelligent agents, with evaluation, observability and governance built in.
Give business users trusted, governed access to data and AI-driven insights. Enterprise dashboards, self-service analytics, conversational BI, semantic definitions and integration with existing visualization platforms.
Give business users trusted, governed access to data and AI-driven insights. Enterprise dashboards, self-service analytics, conversational BI, semantic definitions and integration with existing visualization platforms.
Nihilent uses the Databricks Data Intelligence Platform to unify data engineering, analytics, machine learning and generative AI around trusted enterprise data, so BI, predictive AI and intelligent agents all operate from the same governed foundation.
Five capability pillars, 40+ delivered use cases and 50+ integrated data sources, across banking, financial services, retail, manufacturing, energy and aviation.
Engineering-First Delivery
Legacy batch ETL redesigned on Databricks and Delta Lake, cutting execution time by 70% and making peak-season refreshes possible.
Streaming at Operational Scale
Real-time IoT architectures processing around 100MB of telemetry per event cycle in three to five minutes, for equipment monitoring and predictive maintenance.
Governed by Default
Unity Catalog, lineage and access control built into the foundation, so analytics and AI operate on the same trusted data rather than on separate copies of it.
Agentic AI Grounded in Enterprise Data
Agent Bricks, RAG and foundation models deployed with evaluation, observability and governance, rather than as unmonitored pilots.
Owned Forecasting IP
Resense, Nihilent's demand sensing and forecasting product, runs on this platform and has delivered up to 90% forecast accuracy at store level across 2,000 stores.
Bring us your fragmented data estate, your batch windows that no longer fit the business, and your AI ambitions. We bring the architecture, the accelerators and a team that has migrated this before.
